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e-SNLI: Natural Language Inference with Natural Language Explanations

e-SNLI: Natural Language Inference with Natural Language Explanations

4 December 2018
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
    LRM
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Papers citing "e-SNLI: Natural Language Inference with Natural Language Explanations"

50 / 425 papers shown
Title
NLX-GPT: A Model for Natural Language Explanations in Vision and
  Vision-Language Tasks
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
Fawaz Sammani
Tanmoy Mukherjee
Nikos Deligiannis
MILM
ELM
LRM
24
67
0
09 Mar 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural
  Language Inference
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference
Yufei Feng
Xiaoyu Yang
Xiao-Dan Zhu
Michael A. Greenspan
LRM
NAI
50
11
0
09 Mar 2022
An Empirical Study on Explanations in Out-of-Domain Settings
An Empirical Study on Explanations in Out-of-Domain Settings
G. Chrysostomou
Nikolaos Aletras
LRM
17
27
0
28 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
401
8,559
0
28 Jan 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
206
117
0
26 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
28
396
0
20 Jan 2022
Unifying Model Explainability and Robustness for Joint Text
  Classification and Rationale Extraction
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Dongfang Li
Baotian Hu
Qingcai Chen
Tujie Xu
Jingcong Tao
Yunan Zhang
32
12
0
20 Dec 2021
UNIREX: A Unified Learning Framework for Language Model Rationale
  Extraction
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan
Maziar Sanjabi
Lambert Mathias
L Tan
Shaoliang Nie
Xiaochang Peng
Xiang Ren
Hamed Firooz
41
41
0
16 Dec 2021
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
21
142
0
16 Dec 2021
Generating Fluent Fact Checking Explanations with Unsupervised
  Post-Editing
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing
Shailza Jolly
Pepa Atanasova
Isabelle Augenstein
36
13
0
13 Dec 2021
Few-Shot Out-of-Domain Transfer Learning of Natural Language
  Explanations in a Label-Abundant Setup
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
Yordan Yordanov
Vid Kocijan
Thomas Lukasiewicz
Oana-Maria Camburu
30
18
0
12 Dec 2021
Tell me why! Explanations support learning relational and causal
  structure
Tell me why! Explanations support learning relational and causal structure
Andrew Kyle Lampinen
Nicholas A. Roy
Ishita Dasgupta
Stephanie C. Y. Chan
Allison C. Tam
...
Chen Yan
Adam Santoro
Neil C. Rabinowitz
Jane X. Wang
Felix Hill
35
45
0
07 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales
What to Learn, and How: Toward Effective Learning from Rationales
Samuel Carton
Surya Kanoria
Chenhao Tan
45
22
0
30 Nov 2021
Improving Deep Learning Interpretability by Saliency Guided Training
Improving Deep Learning Interpretability by Saliency Guided Training
Aya Abdelsalam Ismail
H. C. Bravo
S. Feizi
FAtt
20
80
0
29 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts
Few-Shot Self-Rationalization with Natural Language Prompts
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
LRM
26
106
0
16 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
83
1,035
0
01 Nov 2021
Double Trouble: How to not explain a text classifier's decisions using
  counterfactuals synthesized by masked language models?
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?
Thang M. Pham
Trung H. Bui
Long Mai
Anh Totti Nguyen
21
7
0
22 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
19
44
0
20 Oct 2021
Schrödinger's Tree -- On Syntax and Neural Language Models
Schrödinger's Tree -- On Syntax and Neural Language Models
Artur Kulmizev
Joakim Nivre
35
6
0
17 Oct 2021
Order Constraints in Optimal Transport
Order Constraints in Optimal Transport
Fabian Lim
L. Wynter
Shiau Hong Lim
OT
34
4
0
14 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful
  Information from Humans
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
47
16
0
14 Oct 2021
Investigating the Effect of Natural Language Explanations on
  Out-of-Distribution Generalization in Few-shot NLI
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI
Yangqiaoyu Zhou
Chenhao Tan
24
8
0
12 Oct 2021
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu
Zi Xuan Zhang
Atharva Naik
Zhijian Mei
Mauajama Firdaus
Lili Mou
LRM
NAI
44
14
0
18 Sep 2021
Self-training with Few-shot Rationalization: Teacher Explanations Aid
  Student in Few-shot NLU
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU
Meghana Moorthy Bhat
Alessandro Sordoni
Subhabrata Mukherjee
LRM
19
24
0
17 Sep 2021
Does External Knowledge Help Explainable Natural Language Inference?
  Automatic Evaluation vs. Human Ratings
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
Hendrik Schuff
Hsiu-yu Yang
Heike Adel
Ngoc Thang Vu
ELM
ReLM
LRM
38
13
0
16 Sep 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop
  Reading Comprehension
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue
H. Trivedi
Steven K. Sinha
Niranjan Balasubramanian
Kentaro Inui
58
14
0
14 Sep 2021
D-REX: Dialogue Relation Extraction with Explanations
D-REX: Dialogue Relation Extraction with Explanations
Alon Albalak
Varun R. Embar
Yi-Lin Tuan
Lise Getoor
Luu Anh Tuan
67
9
0
10 Sep 2021
Combining Transformers with Natural Language Explanations
Combining Transformers with Natural Language Explanations
Federico Ruggeri
Marco Lippi
Paolo Torroni
25
1
0
02 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural
  Language Inference
A Generative Approach for Mitigating Structural Biases in Natural Language Inference
Dimion Asael
Zachary M. Ziegler
Yonatan Belinkov
14
8
0
31 Aug 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis
  Tools
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Nils Feldhus
Robert Schwarzenberg
Sebastian Möller
19
14
0
31 Aug 2021
Are Training Resources Insufficient? Predict First Then Explain!
Are Training Resources Insufficient? Predict First Then Explain!
Myeongjun Jang
Thomas Lukasiewicz
LRM
21
7
0
29 Aug 2021
Post-hoc Interpretability for Neural NLP: A Survey
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen
Siva Reddy
A. Chandar
XAI
27
224
0
10 Aug 2021
Systematic human learning and generalization from a brief tutorial with
  explanatory feedback
Systematic human learning and generalization from a brief tutorial with explanatory feedback
A. Nam
James L. McClelland
16
1
0
10 Jul 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
25
35
0
25 Jun 2021
On the Diversity and Limits of Human Explanations
On the Diversity and Limits of Human Explanations
Chenhao Tan
19
31
0
22 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Bhargavi Paranjape
Julian Michael
Marjan Ghazvininejad
Luke Zettlemoyer
Hannaneh Hajishirzi
ReLM
LRM
22
66
0
12 Jun 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness,
  and Semantic Evaluation
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation
Wei Zhang
Ziming Huang
Yada Zhu
Guangnan Ye
Xiaodong Cui
Fan Zhang
31
17
0
09 Jun 2021
Generating Hypothetical Events for Abductive Inference
Generating Hypothetical Events for Abductive Inference
Debjit Paul
Anette Frank
ReLM
LRM
6
7
0
07 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in
  Rule Reasoning
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
ReLM
LRM
24
26
0
02 Jun 2021
Is Sparse Attention more Interpretable?
Is Sparse Attention more Interpretable?
Clara Meister
Stefan Lazov
Isabelle Augenstein
Ryan Cotterell
MILM
20
44
0
02 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh
Sebastian Müller
Matthias Jakobs
Vanessa Toborek
Hanxiao Tan
Raphael Fischer
Pascal Welke
Sebastian Houben
Laura von Rueden
XAI
22
28
0
21 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in
  Vision-Language Tasks
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser
Oana-Maria Camburu
Leonard Salewski
Cornelius Emde
Virginie Do
Zeynep Akata
Thomas Lukasiewicz
VLM
26
100
0
08 May 2021
Do Natural Language Explanations Represent Valid Logical Arguments?
  Verifying Entailment in Explainable NLI Gold Standards
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards
Marco Valentino
Ian Pratt-Hartman
André Freitas
XAI
LRM
21
12
0
05 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey
Explanation-Based Human Debugging of NLP Models: A Survey
Piyawat Lertvittayakumjorn
Francesca Toni
LRM
42
79
0
30 Apr 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation
  of News
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
Ashkan Kazemi
Zehua Li
Verónica Pérez-Rosas
Rada Mihalcea
27
14
0
27 Apr 2021
Explaining Answers with Entailment Trees
Explaining Answers with Entailment Trees
Bhavana Dalvi
Peter Alexander Jansen
Oyvind Tafjord
Zhengnan Xie
Hannah Smith
Leighanna Pipatanangkura
Peter Clark
ReLM
FAtt
LRM
245
184
0
17 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
30
45
0
16 Apr 2021
ExplaGraphs: An Explanation Graph Generation Task for Structured
  Commonsense Reasoning
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Swarnadeep Saha
Prateek Yadav
Lisa Bauer
Joey Tianyi Zhou
LRM
44
56
0
15 Apr 2021
Connecting Attributions and QA Model Behavior on Realistic
  Counterfactuals
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals
Xi Ye
Rohan Nair
Greg Durrett
21
24
0
09 Apr 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning
  Word-Group Masks
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
Hanjie Chen
Song Feng
Jatin Ganhotra
H. Wan
Chulaka Gunasekara
Sachindra Joshi
Yangfeng Ji
20
18
0
09 Apr 2021
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